Mid Level AI Engineer
Core
Design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures for Tier 1 financial institutions.
Role type
Mid-level Generative AI Engineer
Builds
Scalable, production-grade AI solutions and intelligent applications
Domain
Financial Services / Generative AI
Deliverable
production ML models | product features
Required skills
Python, REST APIs, microservices, LLMs, RAG architectures, vector databases, cloud platforms (AWS/Azure/GCP), Git, CI/CD
Preferred skills
Multi-agent AI systems (LangChain, LangGraph), Model Context Protocol (MCP), LLM observability (LangSmith, Langfuse), containerization (Docker, Kubernetes), frontend technologies (React, TypeScript)
Technologies
OpenAI, Anthropic, Gemini, Azure OpenAI, Pinecone, Weaviate, Chroma, Qdrant, FAISS, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LangSmith, Langfuse, Arize, Docker, Kubernetes, React, TypeScript
Responsibilities
Design and build AI-powered applications using LLMs and Generative AI frameworks; Develop and optimize RAG solutions leveraging vector databases; Create intelligent AI agents and workflows interacting with APIs and business systems; Build scalable REST APIs and cloud-native architectures; Collaborate with cross-functional teams to translate business requirements into AI solutions
Seniority
Mid-level, hands-on IC
